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Energy Efficient Coverage Control For Wireless Sensor Networks

Posted on:2012-01-01Degree:MasterType:Thesis
Country:ChinaCandidate:Z ZhuFull Text:PDF
GTID:2178330335463218Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
Recently, the idea of Wireless Sensor Networks(WSN) has attracted a great deal of research attention because of wide-ranged potential applications that will be enabled by wireless sensor networks. A wireless sensor network consists of tiny sensing devices, deployed in a region of interest. Each device has processing and wireless communication capabilities, which enable it to gather information from the environment and then to generate and deliver report messages to the remote base station (remote user). The base station aggregates and analyzes the report messages received and decides whether there is an unusual or concerned event occurrence in the deployed area.Focus of this study is that the distribution of large-scale randomized controlled wireless sensor network coverage around the energy balance and network lifetime extension of the two aspects. Goal is to design a set of coverage based on sleep scheduling control algorithm, making the work of the node set to ensure appropriate coverage. As wireless sensor networks in general the density is relatively large, in the implementation of tasks without all of the nodes are at work, so that some redundant nodes to sleep to save energy for the purpose, that is, the selection of the minimum cover set. At the same time pay attention to the uniformity of the network energy consumption, to prevent excessive shrinkage of the network to ensure network integrity and reliability.For the problem of energy efficient and computational complexity in the coverage protocol of Wireless Sensor Networks. Introduce the method of clustering into energy-saving coverage control. On the basis of Off-duty Eligibility Rule(ODER), proposed a energy-balance coverage control (EB-ODER). Simulation results show that the program can not only achieve 95% coverage rate, but the network lifetime also can increase more than 3 times.
Keywords/Search Tags:wireless sensor network, coverage control, node scheduling, energy efficiency, clustering
PDF Full Text Request
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